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Advances in Computational Statistical Physics

17 Sep 2018 - 21 Sep 2018 • CIRM Luminy, Marseille, France

Abstract:

The aim of this workshop is to gather applied mathematicians and researchers from other scientific fields working on the development of efficient numerical methods to sample high dimensional and multimodal probability measures. The design of such algorithms is becoming more and more pregnant in many fields of applications. We have particularly in mind molecular simulation where scientists are interested in models of matter at the atomistic level. With the development of large-scale computing facilities, simulations of materials at the molecular scale are now performed on a daily basis. There is a need to further develop the rigorous mathematical analysis of the numerical methods used in this field, in order to assess the accuracy of these techniques, to improve them, and to propose new approaches. Applications also concern Bayesian inference in computational statistics, where the complexity increases as the size of data sets increases.

Event listing ID:

1017977

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Last updated: 18 February 2018